Docker-Compose Example 02
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Clone the repository into a directory called node_project:
Navigate to the node_project directory:
Open the project's package.json file using nano or your favorite editor:
Beneath the project dependencies and above the closing curly brace, create a new devDependencies object that includes nodemon:~/node_project/package.json
Save and close the file when you are finished editing.
With the project code in place and its dependencies modified, you can move on to refactoring the code for a containerized workflow.
Let's begin with app.js, our main application entrypoint. Open the file:
Let's redefine the port constant to allow for dynamic assignment at runtime using the process.env object. Make the following changes to the constant definition and listen function:~/home/node_project/app.js
When you are finished editing, save and close the file.
Next, we will modify our database connection information to remove any configuration credentials. Open the db.js file, which contains this information:
Currently, the file does the following things:
Imports Mongoose, the Object Document Mapper (ODM) that we're using to create schemas and models for our application data.
Sets the database credentials as constants, including the username and password.
Our first step in modifying the file will be redefining the constants that include sensitive information. Currently, these constants look like this:~/node_project/db.js
Instead of hardcoding this information, you can use the process.env object to capture the runtime values for these constants. Modify the block to look like this:~/node_project/db.js
Save and close the file when you are finished editing.
At this point, you have modified db.js to work with your application's environment variables, but you still need a way to pass these variables to your application. Let's create an .env file with values that you can pass to your application at runtime.
Open the file:
This file will include the information that you removed from db.js: the username and password for your application's database, as well as the port setting and database name. Remember to update the username, password, and database name listed here with your own information:~/node_project/.env
Note that we have removed the host setting that originally appeared in db.js. We will now define our host at the level of the Docker Compose file, along with other information about our services and containers.
Save and close this file when you are finished editing.
Because your .env file contains sensitive information, you will want to ensure that it is included in your project's .dockerignore and .gitignore files so that it does not copy to your version control or containers.
Open your .dockerignore file:
Add the following line to the bottom of the file:~/node_project/.dockerignore
Save and close the file when you are finished editing.
The .gitignore file in this repository already includes .env, but feel free to check that it is there:
~~/node_project/.gitignore
At this point, you have successfully extracted sensitive information from your project code and taken measures to control how and where this information gets copied. Now you can add more robustness to your database connection code to optimize it for a containerized workflow.
Open db.js for editing:
The reconnectTries option tells Mongoose to continue trying to connect indefinitely, while reconnectInterval defines the period between connection attempts in milliseconds. connectTimeoutMS defines 10 seconds as the period that the Mongo driver will wait before failing the connection attempt.
Currently, the Mongoose connect method looks like this:~/node_project/db.js
Delete the existing connect method and replace it with the following code, which includes the options constant and a promise:~/node_project/db.js
The finished file will look like this:~/node_project/db.js
Save and close the file when you have finished editing.
You have now added resiliency to your application code to handle cases where your application might fail to connect to your database. With this code in place, you can move on to defining your services with Compose.
With your code refactored, you are ready to write the docker-compose.yml file with your service definitions. A service in Compose is a running container, and service definitions — which you will include in your docker-compose.yml file — contain information about how each container image will run. The Compose tool allows you to define multiple services to build multi-container applications.
Open a file called wait-for.sh:
Paste the following code into the file to create the polling function:~/node_project/app/wait-for.sh
Save and close the file when you are finished adding the code.
Make the script executable:
Next, open the docker-compose.yml file:
First, define the nodejs application service by adding the following code to the file:~/node_project/docker-compose.yml
The nodejs service definition includes the following options:
context: This defines the build context for the image build — in this case, the current project directory.
image, container_name: These apply names to the image and container.
restart: This defines the restart policy. The default is no, but we have set the container to restart unless it is stopped.
env_file: This tells Compose that we would like to add environment variables from a file called .env, located in our build context.
ports: This maps port 80 on the host to port 8080 on the container.
volumes: We are including two types of mounts here:
Keep the following points in mind when using this approach:
Your bind will mount the contents of the node_modules directory on the container to the host and this directory will be owned by root, since the named volume was created by Docker.
networks: This specifies that our application service will join the app-network network, which we will define at the bottom on the file.
command: This option lets you set the command that should be executed when Compose runs the image. Note that this will override the CMD instruction that we set in our applicationDockerfile. Here, we are running the application using the wait-for script, which will poll the db service on port 27017 to test whether or not the database service is ready. Once the readiness test succeeds, the script will execute the command we have set,/home/node/app/node_modules/.bin/nodemon app.js, to start the application withnodemon. This will ensure that any future changes we make to our code are reloaded without our having to restart the application.
Next, create the db service by adding the following code below the application service definition:~/node_project/docker-compose.yml
Some of the settings we defined for the nodejs service remain the same, but we've also made the following changes to the image, environment, and volumes definitions:
We've also added the db service to the app-network network with the networks option.
As a final step, add the volume and network definitions to the bottom of the file:~/node_project/docker-compose.yml
The user-defined bridge network app-network enables communication between our containers since they are on the same Docker daemon host. This streamlines traffic and communication within the application, as it opens all ports between containers on the same bridge network, while exposing no ports to the outside world. Thus, our db and nodejs containers can communicate with each other, and we only need to expose port 80 for front-end access to the application.
Our top-level volumes key defines the volumes dbdata and node_modules. When Docker creates volumes, the contents of the volume are stored in a part of the host filesystem, /var/lib/docker/volumes/, that's managed by Docker. The contents of each volume are stored in a directory under /var/lib/docker/volumes/ and get mounted to any container that uses the volume. In this way, the shark information data that our users will create will persist in the dbdatavolume even if we remove and recreate the db container.
The finished docker-compose.yml file will look like this:~/node_project/docker-compose.yml
Save and close the file when you are finished editing.
With your service definitions in place, you are ready to start the application.
First, build the container images and create the services by running docker-compose up with the -d flag, which will then run the nodejs and db containers in the background:
You will see output confirming that your services have been created:
You can also get more detailed information about the startup processes by displaying the log output from the services:
You will see something like this if everything has started correctly:
You will see output indicating that your containers are running:
With your services running, you can visit http://your_server_ip in the browser. You will see a landing page that looks like this:
A development server running Ubuntu 18.04, along with a non-root user with sudo privileges and an active firewall. For guidance on how to set these up, please see this .
Docker installed on your server, following Steps 1 and 2 of .
Docker Compose installed on your server, following Step 1 of .
The first step in building this setup will be cloning the project code and modifying its file, which includes the project's dependencies. We will add to the project's , specifying that we will be using it during development. Running the application with nodemon ensures that it will be automatically restarted whenever you make changes to your code.
First, clone the from the . This repository includes the code from the setup described in , which explains how to integrate a MongoDB database with an existing Node application using .
Modifying our application for a containerized workflow means making our code more modular. Containers offer portability between environments, and our code should reflect that by remaining as decoupled from the underlying operating system as possible. To achieve this, we will refactor our code to make greater use of Node's property, which returns an object with information about your user environment at runtime. We can use this object in our code to dynamically assign configuration information at runtime with environment variables.
Inside, you will see a definition for a port , as well a that uses this constant to specify the port the application will listen on:~/home/node_project/app.js
Our new constant definition assigns port dynamically using the value passed in at runtime or 8080. Similarly, we've rewritten the listen function to use a , which will interpolate the port value when listening for connections. Because we will be mapping our ports elsewhere, these revisions will prevent our having to continuously revise this file as our environment changes.
Connects to the database using the .
For more information about the file, please see of .
Our next step will be to make our database connection method more robust by adding code that handles cases where our application fails to connect to our database. Introducing this level of resilience to your application code is a when working with containers using Compose.
You will see the code that we added earlier, along with the url constant for Mongo's connection URI and the method:~/node_project/db.js
Currently, our connect method accepts an option that tells Mongoose to use Mongo's . Let's add a few more options to this method to define parameters for reconnection attempts. We can do this by creating an options constant that includes the relevant information, in addition to the new URL parser option. Below your Mongo constants, add the following definition for an options constant:~/node_project/db.js
We can now use the new options constant in the Mongoose connect method to fine tune our Mongoose connection settings. We will also add a to handle potential connection errors.
In the case of a successful connection, our function logs an appropriate message; otherwise it will and log the error, allowing us to troubleshoot.
Before defining our services, however, we will add a tool to our project called to ensure that our application only attempts to connect to our database once the database startup tasks are complete. This wrapper script uses to poll whether or not a specific host and port are accepting TCP connections. Using it allows you to control your application's attempts to connect to your database by testing whether or not the database is ready to accept connections.
Though Compose allows you to specify dependencies between services using the , this order is based on whether or not the container is running rather than its readiness. Using depends_on won't be optimal for our setup, since we want our application to connect only when the database startup tasks, including adding a user and password to the adminauthentication database, are complete. For more information on using wait-for and other tools to control startup order, please see the relevant .
build: This defines the configuration options, including the context and dockerfile, that will be applied when Compose builds the application image. If you wanted to use an existing image from a registry like , you could use the instead, with information about your username, repository, and image tag.
dockerfile: This specifies the Dockerfile in your current project directory as the file Compose will use to build the application image. For more information about this file, please see .
environment: Using this option allows you to add the Mongo connection settings you defined in the .env file. Note that we are not setting NODE_ENV to development, since this is behavior if NODE_ENV is not set. When moving to production, you can set this to production to . Also note that we have specified the db database container as the host, as discussed in .
The first is a that mounts our application code on the host to the /home/node/app directory on the container. This will facilitate rapid development, since any changes you make to your host code will be populated immediately in the container.
The second is a named , node_modules. When Docker runs the npm installinstruction listed in the application Dockerfile, npm will create a new directory on the container that includes the packages required to run the application. The bind mount we just created will hide this newly created node_modules directory, however. Since node_modules on the host is empty, the bind will map an empty directory to the container, overriding the new node_modules directory and preventing our application from starting. The named node_modules volume solves this problem by persisting the contents of the /home/node/app/node_modules directory and mounting it to the container, hiding the bind.
If you have a pre-existing node_modules directory on the host, it will override the node_modules directory created on the container. The setup that we're building in this tutorial assumes that you do not have a pre-existing node_modules directory and that you won't be working with npm on your host. This is in keeping with a , which minimizes dependencies between execution environments.
image: To create this service, Compose will pull the 4.1.8-xenial from Docker Hub. We are pinning a particular version to avoid possible future conflicts as the Mongo image changes. For more information about version pinning, please see the Docker documentation on .
MONGO_INITDB_ROOT_USERNAME, MONGO_INITDB_ROOT_PASSWORD: The mongo image makes these available so that you can modify the initialization of your database instance. MONGO_INITDB_ROOT_USERNAME and MONGO_INITDB_ROOT_PASSWORDtogether create a root user in the admin authentication database and ensure that authentication is enabled when the container starts. We have set MONGO_INITDB_ROOT_USERNAME and MONGO_INITDB_ROOT_PASSWORD using the values from our .env file, which we pass to the db service using the env_file option. Doing this means that our sammy application user will be a on the database instance, with access to all of the administrative and operational privileges of that role. When working in production, you will want to create a dedicated application user with appropriately scoped privileges.Note: Keep in mind that these variables will not take effect if you start the container with an existing data directory in place.
dbdata:/data/db: The named volume dbdata will persist the data stored in Mongo's , /data/db. This will ensure that you don't lose data in cases where you stop or remove containers.
With your docker-compose.yml file in place, you can create your services with the command. You can also test that your data will persist by stopping and removing your containers with .
You can also check the status of your containers with :
